Env(mapsize, foodTypes[0]),
Env(mapsize, foodTypes[1]),
Env(mapsize, foodTypes[2]),
Env(mapsize, foodTypes[3])
]
for e in env:
e.makeGradient()
for i in range(0, 100):
e.makeFoodRandom()
e.updateMap()
animats = []
for a in range(0, 20):
animats.append(
Animat(random.randrange(0, mapsize), random.randrange(0, mapsize), env,
foodTypes, 1500, 1000))
fig = plt.figure()
ims = []
toPlot = zeros((mapsize, mapsize))
Animat.foodTargeting = False
Animat.allowDeath = False
trainingTicks = 10000
# Training session
for i in range(0, trainingTicks):
for e in env:
e.tick()
Animat.startTick()
for a in animats:
stillAlive = a.tick()
if not stillAlive:
print 'Running Simulation - Moving food around, picking up, dropping' # Deprecated filename = 'nn_precise_100k.p' size = 50; env1 = Env(size,0) env2 = Env(size,1); for i in range (0,20): env1.makeFoodRandom(); env2.makeFoodRandom(); env1.updateMap() env2.updateMap() animats = [Animat(25,25,[env1,env2],filename),Animat(10,40,[env1,env2],filename)]; stateMachine = ['notholding','notholding']; fig = plt.figure() ims = [] toEat = [random.randrange(0,2),random.randrange(0,2)]; toFollow = [0 if toEat == 1 else 1,0 if toEat == 1 else 1]; for i in range(0,1000): env1.tick() env2.tick() for index,a in enumerate(animats): if stateMachine[index] == 'fail': toEat[index] = random.randrange(0,2); toFollow[index] = 0 if toEat == 1 else 1;
import matplotlib.animation as animation
print 'Running Simulation - Find food'
#filename = 'nn_scents_based.p'
filename = 'nn_precise_100k.p'
#Init Environment and food sources
env = Env(50)
for i in range(0, 10):
env.makeFoodRandom()
#env.makeFood(20,20);
env.updateMap()
#Create Animat
ID = 1
a = Animat(0, 0, env, filename, 1)
fig = plt.figure()
ims = []
for i in range(0, 1000):
print "Tick: " + str(i)
env.tick()
if a.alive:
a.tickStateMachine()
env.map[a.y, a.x] = env.map.max()
im = plt.imshow(env.map)
im.set_cmap('spectral')
ims.append([im])
env.tick()
print 'Running Simulation - Find food'
#filename = 'nn_scents_based.p'
filename = 'nn_precise_100k.p'
#Init Environment and food sources
env = [Env(50, 0), Env(50, 1)]
for e in env:
e.makeGradient()
for i in range(0, 100):
e.makeFoodRandom()
e.updateMap()
#Create Animat
animats = [
Animat(25, 25, env, filename),
Animat(10, 40, env, filename),
Animat(45, 10, env, filename),
Animat(30, 40, env, filename)
]
fig = plt.figure()
ims = []
for i in range(0, 50000):
for e in env:
e.tick()
for a in animats:
a.tick()
for e in env:
e.map[a.y, a.x] = e.map.max()
if i % 100 == 0:
#Init Environment and food sources foodTypes = [0,1,2,3]; mapsize = 100; env = [Env(mapsize,foodTypes[0]),Env(mapsize,foodTypes[1]), Env(mapsize,foodTypes[2]),Env(mapsize,foodTypes[3])]; for e in env: e.makeGradient() for i in range (0,100): e.makeFoodRandom() e.updateMap() animats = []; numAnimats = 20; for a in range(0,numAnimats): animats.append(Animat(random.randrange(0,mapsize),random.randrange(0,mapsize),env,foodTypes)); Animat.allowDeath = False; fig = plt.figure() ims = [] toPlot = zeros((mapsize,mapsize)); # Training session for i in range(0,15000): for e in env: e.tick() Animat.startTick() for a in animats: a.tick() for e in env: e.binaryGradient[a.y,a.x] = e.binaryGradient.max() if e.binaryGradient.max() > 0 else 1;
Env(mapsize, foodTypes[0]),
Env(mapsize, foodTypes[1]),
Env(mapsize, foodTypes[2]),
Env(mapsize, foodTypes[3])
]
for e in env:
e.makeGradient()
for i in range(0, 100):
e.makeFoodRandom()
e.updateMap()
animats = []
numAnimats = 20
for a in range(0, numAnimats):
animats.append(
Animat(random.randrange(0, mapsize), random.randrange(0, mapsize), env,
foodTypes))
Animat.allowDeath = True
fig = plt.figure()
ims = []
toPlot = zeros((mapsize, mapsize))
# Training session
for i in range(0, 7000):
for e in env:
e.tick()
for a in animats:
a.tick()
for e in env:
e.binaryGradient[a.y, a.x] = e.binaryGradient.max(
) if e.binaryGradient.max() > 0 else 1
